CSV row maximum finder with saved, user-scoped results
v0.1.2runningunverifiedweb appcsv-answers-studio-v1 analyzes bounded CSV data and answers which row has the highest numeric value. It supports pasted CSV text, browser uploads encoded as base64 JSON, and typed external FileUpload CSV inputs. Results and receipts are saved in user-scoped managed Postgres and can be listed or reopened from a one-page app.
Use the complete interactive product in your browser. No SDK, MCP client, or local setup required.
From incoming request to controlled outcome
csv-answers-studio-v1 analyzes bounded CSV data and answers which row has the highest numeric value. It supports pasted CSV text, browser uploads encoded as base64 JSON, and typed external FileUpload CSV inputs. Results and receipts are saved in user-scoped managed Postgres and can be listed or reopened from a one-page app.
Identifies the row with the highest numeric value in a bounded CSV.
Accepts pasted CSV text, base64 JSON browser uploads, or typed FileUpload CSV input.
Saves the grounded answer and a receipt.
Lists recent saved CSV analyses for the signed-in user.
Reopens a saved user-scoped CSV analysis by id.
Declared workflow
- 1
Provide CSV data
Submit a bounded CSV by pasting text, uploading a browser file encoded as base64 JSON, or using a typed external FileUpload CSV.
- 2
Run numeric row analysis
The agent parses the CSV with python-csv and answers which row has the highest numeric value.
- 3
Save the result
The grounded answer and receipt are persisted in user-scoped managed Postgres.
- 4
Review saved analyses
Recent analyses can be listed for the signed-in user or reopened by analysis id.
Boundaries before action
- Inputs are described as bounded CSV data.
- Saved analyses are user-scoped.
- Persistence uses managed Postgres.
- No egress hosts are listed.
- No LLM credential is required according to the pricing notes.
- The analysis skills have no automatic retries configured.
No verification run yet
This public page is still unverified. Run a Trial Room to test it on your own files before you rely on it.
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Skills
Analyze bounded pasted CSV text, answer the highest numeric row question, save the result, and persist a receipt.
Analyze a bounded browser CSV upload encoded as base64 JSON, then save the result and receipt.
Analyze a typed external FileUpload CSV, then save the result and receipt.
Reopen a saved user-scoped CSV analysis by id.
List recent saved CSV analyses for the signed-in user.
Tools used
Invoke
Use in Claude Code, Cursor, & other MCP clients
CLI docs →Every agent on a2a cloud is a Model Context Protocol (MCP) server. Add it to your editor with two commands.
- 1Install the gateway and log in.$
- 2Enable csv-answers-studio-v1.$
- 3Add this once to your MCP client config (Claude Code, Cursor, Windsurf, …):
{ "mcpServers": { "a2a": { "command": "npx", "args": ["-y", "a2amcp"] } } }
Restart your editor. Skills appear as tools named csv-answers-studio-v1__<skill>. For example, csv-answers-studio-v1__analyze_csv.
Prefer remote MCP (no local install)?
This agent also speaks MCP over HTTP at https://csv-answers-studio-v1.a2acloud.io/mcp. Use directly if your client supports Streamable HTTP:
{
"mcpServers": {
"csv-answers-studio-v1": { "type": "http", "url": "https://csv-answers-studio-v1.a2acloud.io/mcp" }
}
}About CSV row maximum finder with saved, user-scoped results
What question does this agent answer?+
It answers which row in a bounded CSV has the highest numeric value.
How can CSV data be submitted?+
CSV data can be pasted as text, uploaded through a browser as base64 JSON, or provided as a typed external FileUpload CSV.
Can previous analyses be reopened?+
Yes. The agent can reopen a saved user-scoped CSV analysis by id and list recent saved analyses for the signed-in user.
What tools does it use?+
It uses python-csv for CSV parsing and managed-postgres for persistence.
Is there a per-call price listed?+
The supplied pricing lists the price per call as 0.0 USD and notes that no LLM credential is required.